Update app.py

app.py

@@ -1,105 +1,3 @@
-# import streamlit as st
-# import pandas as pd
-# import geopandas
-# import folium
-# from streamlit_folium import st_folium
-# from pathlib import Path
-# import tempfile
-
-# # Streamlit page setup
-# st.set_page_config(page_title="ISD Mapping", layout="centered", initial_sidebar_state="collapsed")
-# st.image('MTSS.ai_Logo.png', width=300)  # Adjust path as needed
-# st.header('MTSS Maps™ | ISDs')
-# st.subheader('Map Generator')
-
-# # CSV file upload
-# # uploaded_file = st.file_uploader("Upload your ISD data CSV", type=["csv"])
-# # if uploaded_file is not None:
-# #     df = pd.read_csv(uploaded_file)
-
-# # Excel file upload
-# uploaded_file = st.file_uploader("Upload your ISD data XLSX", type=["xlsx"])
-# if uploaded_file is not None:
-#     # Specify dtype as str for 'ISD Code' to ensure it reads in as string
-#     df = pd.read_excel(uploaded_file, dtype={"ISD Code": str})
-    
-#     # Add column "Count" and add 1 to all rows
-#     df['Count'] = 1
-
-#     # If the 'ISD Code' column contains integers without leading zeros, add them
-#     df['ISD Code'] = df['ISD Code'].apply(lambda x: str(x).zfill(5))
-    
-#     # Load GeoJSON file from the root directory
-#     geojson_filename = "Intermediate_School_Districts.geojson"  # Name of your GeoJSON file
-#     geojson_path = Path(__file__).parent / geojson_filename  # Construct the path to the GeoJSON file
-    
-#     if geojson_path.exists():
-#         Mi_ISD_geojson = geopandas.read_file(str(geojson_path))
-#         Mi_ISD_geojson.rename(columns={'ISD': 'ISD Code', 'NAME': 'ISD'}, inplace=True)
-        
-#         # Drop unwanted columns
-#         columns_to_drop = ['OBJECTID', 'LABEL', 'TYPE', 'SQKM', 'SQMILES', 'ACRES', 'VER','LAYOUT', 'PENINSULA', 'ISDCode', 'ISD1', 'ShapeSTArea', 'ShapeSTLength']
-#         Mi_ISD_geojson.drop(columns=columns_to_drop, axis=1, inplace=True)
-        
-#         # Ensure 'ISD Code' is treated as a string to preserve leading zeros
-#         Mi_ISD_geojson['ISD Code'] = Mi_ISD_geojson['ISD Code'].astype(str)
-        
-#         # If the 'ISD Code' column contains integers without leading zeros, add them
-#         Mi_ISD_geojson['ISD Code'] = Mi_ISD_geojson['ISD Code'].apply(lambda x: str(x).zfill(5))
-
-#         # Merge GeoJSON file and DataFrame
-#         ISD_Combined = pd.merge(Mi_ISD_geojson, df, on='ISD Code', how='left', suffixes=('', '_drop')).fillna(0)
-                                     
-#         # Identify any columns that end with '_drop' and drop them
-#         ISD_Combined = ISD_Combined.loc[:, ~ISD_Combined.columns.str.endswith('_drop')]
-
-#         # Generating the Folium map
-#         def style_function(feature):
-#             count = feature['properties'].get('Count', 0)
-#             return {
-#                 'fillColor': '#48BB88' if count > 0 else 'white',
-#                 'color': 'black',
-#                 'weight': 0.15,
-#                 'fillOpacity': 0.7 if count > 0 else 0.25,
-#                 'lineOpacity': 0.4,
-#             }
-
-#         m = folium.Map(location=[44.3148, -85.6024], zoom_start=7)
-#         folium.GeoJson(
-#             ISD_Combined.to_json(),
-#             style_function=style_function,
-#             tooltip=folium.GeoJsonTooltip(fields=['ISD'], aliases=['ISD:'])
-#         ).add_to(m)
-
-#     # call to render Folium map in Streamlit
-#     st_data = st_folium(m, width=725)
-    
-#     # Save the map to a temporary HTML file and offer it for download
-#     with tempfile.NamedTemporaryFile(delete=False, suffix=".html") as tmpfile:
-#         m.save(tmpfile.name)
-#         tmpfile.seek(0)
-#         with open(tmpfile.name, "rb") as file:
-#             btn = st.download_button(
-#                     label="Download Map as HTML",
-#                     data=file,
-#                     file_name="District_Map.html",
-#                     mime="text/html"
-#                 )
-    
-#    # Displaying ISDs with a count of 1
-#     ISDs_with_one = ISD_Combined[ISD_Combined['Count'] == 1]
-#     if not ISDs_with_one.empty:
-#         st.write("ISDs:")
-#         # st.dataframe(ISDs_with_one[['ISD', 'ISD Code']])
-#         st.dataframe(ISDs_with_one[['ISD', 'ISD Code']].reset_index(drop=True))
-        
-#         # Informing the user about the total number of ISD with a count of 1
-#         total_ISDs_with_one = len(ISDs_with_one)
-#         st.write(f"Total number of ISD: {total_ISDs_with_one}")
-#     else:
-#         st.write("No ISD have a count of 1.")
-
-
 import streamlit as st
 import pandas as pd
 import geopandas
@@ -210,7 +108,7 @@ if uploaded_file is not None:
             btn = st.download_button(
                     label="Download Map as HTML",
                     data=file,
-                    file_name="District_Map.html",
+                    file_name="ISD_Map.html",
                     mime="text/html",
                     type="primary"
                 )